Statistics

Absolute Max and Min on an Interval

Total Running Time: 10:38

graphic interpretation, solve with calculus

Adding Fractions

Total Running Time: 08:01

Algebraic Limits and Continuity

Total Running Time: 10:04

0/0, calculus for business

Antidifferentiation – Indefinite Integral

Total Running Time: 18:46

antiderivative, exponential and logarithmic functions, negative and rational exponents

Applications of Linear Functions

Total Running Time: 21:56

average cost, cost, linear depreciation, market equilibrium, profit, Revenue, supply and demand

Applications of Quadratic Functions

Total Running Time: 14:18

break even analysis, graphing, market equilibrium, profit functions, revenue functions, supply and demand functions

Applications of the First Derivative

Total Running Time: 22:12

increasing and decreasing graphical, relative extrema, relative minimum and maximum

Applications of the Second Derivative

Total Running Time: 24:43

concavity, inflection points

Area and Definite Integrals

Total Running Time: 17:58

fundamental theorem of calculus

Area Between Curves

Total Running Time: 17:51

average value over an interval, endpoints of integration, graphic understanding

Asymptotes

Total Running Time: 13:45

limits at infinity, vertical and horizontal asymptotes

Average Rates of Change

Total Running Time: 07:49

algebraic example, graphic example

Basic Matrix Operations

Total Running Time: 12:41

adding and subtracting matrices, dimension of a matrix, entries of a matrix, identifying entries, scalar multiplication, special matrices

Baye’s Rule

Total Running Time: 34:16

calculate, interpret, multiplicative rule, probability, tree diagram

Baye’s Rule

Total Running Time: 05:30

Baye's rule, conditional probability

Binomial Distribution

Total Running Time: 04:31

Binomial Distribution, Binomial Probability, Binomial Table, Mean Deviation, standard deviation

Chain Rule

Total Running Time: 14:50

negative exponents, rational exponents

Commonly Used Confidence Intervals

Total Running Time: 15:36

Common Confidence Levels, Confidence Intervals, One Sided Confidence Intervals, Two Sided Confidence Intervals

Comparing Two Population Means PT1

Total Running Time: 11:41

confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic

Comparing Two Population Means PT2

Total Running Time: 09:26

confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic

Comparing Two Population Proportions PT1

Total Running Time: 11:11

Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic

Comparing Two Population Proportions PT2

Total Running Time: 10:14

Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic

Conditional Probability and Independent Events

Total Running Time: 05:19

conditional probability, Conditional Probability Formula, independent events, probability

Confidence Intervals for Proportions

Total Running Time: 19:50

assumptions and conditions, certainty versus precision, choosing sample size, margin of error

Confidence Intervals for Proportions

Total Running Time: 09:24

Confidence Level

Confidence Intervals for the Mean (t-Statistic)

Total Running Time: 12:01

confidence interval, Inferential Methods, Population Mean, T-statistic, Target Parameters, Validity Assumptions

Confidence Intervals for the Mean (z-Statistic) PT1

Total Running Time: 13:35

confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic

Confidence Intervals for the Mean (z-Statistic) PT2

Total Running Time: 14:16

confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic

Confidence Intervals for the Population Proportion

Total Running Time: 14:11

categorical variables, confidence interval, Population Proportion, Probability Calculations, Z-Statistic

Consumer and Producer Surplus

Total Running Time: 22:24

market equilibrium

Converting Decimals & Fractions to Percent

Total Running Time: 08:14

Correlation

Total Running Time: 14:00

Correlation, Linear Correlation Coefficient, r, StatCrunch

Correlation

Total Running Time: 08:56

lurking variables, scatterplots

Correlation and Linear Regression

Total Running Time: 27:04

conditions and properties of correlation, correlation tables, f test, lurking variables and causation, r squared, residuals, scatterplots, variation

Creating Control Charts – c-chart and p-chart

Total Running Time: 05:21

Creating Control Charts – x bar and R

Total Running Time: 08:26

Data

Total Running Time: 08:38

categorical variables, Nominal Variables, Quantitative Variables, W's of data

Derivative of Logarithmic Functions

Total Running Time: 11:47

derivative of log's, rule of log's

Differentiation Techniques – Easy Way

Total Running Time: 22:54

derivatives of constants, negative exponents, power rule, rational exponents

Differentiation Using Difference Quotient

Total Running Time: 21:13

derivative definition, finding derivative, finding equations of tangent lines, slope of tangent line

Displaying and Describing Categorical Data

Total Running Time: 15:04

Bar Charts, Categorical Data, conditional distribution, Contingency Table, Frequency Table, independent variables, marginal distribution, Pie Charts

Displaying and Describing Quantitative Data

Total Running Time: 25:19

boxplots, center, comparing standard deviation, five number summary, identifying outliers, interpreting skewness statistic, mean, median, mode, reading histogram, shape, spread of distribution, standardizing, variance, z score

Displaying Describing Quantitative Data PT1

Total Running Time: 06:21

histogram, outliers, Shape of Distribution, skewed, symmetric

Displaying Describing Quantitative Data PT2

Total Running Time: 24:36

5 Number Summary, mean, median, mode, outliers, range, standard deviation, Standardized Value, z score

Elasticity of Demand

Total Running Time: 18:27

elastic and inelastic products, maximizing revenue

Equations of Lines

Total Running Time: 22:59

finding slope, parallel and perpendicular

Expected Value

Total Running Time: 13:22

Discrete Random Variables, expected value, random variables, standard deviation

Exponential Functions

Total Running Time: 15:50

derivative of exponentials, product rule

Exponential Functions and Application of Exponential Functions

Total Running Time: 16:33

Euler's number, graphing

Exponents

Total Running Time: 09:19

Exponents and Radicals

Total Running Time: 16:14

properties of exponents, radicals and rational exponents

Factoring

Total Running Time: 22:52

GCF, greatest common factor, trinomials

Finding Domain and Range

Total Running Time: 16:47

algebraic approach, graphical approach, interval notation

First Degree Equations

Total Running Time: 21:29

solving linear equations, solving rational equations

Five-Number Summary and Boxplots

Total Running Time: 13:26

boxplots, five number summary, interquartile range, IRQ, ordered data set, quartiles

Fractions

Total Running Time: 07:31

Functions

Total Running Time: 29:35

difference quotient, finding domain, functional notation

Functions and Models

Total Running Time: 12:43

difference quotient, graphing, vertical line test

Future Value of Ordinary Annuities

Total Running Time: 21:54

calculating interest, ordinary annuity, solving for r, solving for s, the formula

Graphical Methods of Describing Data

Total Running Time: 18:36

bimodal, charts, distributions, graphs, outliers, skewed, symmetric

Graphs

Total Running Time: 22:06

finding real solutions to polynomials, linear equations in standard form, polynomial and rational equations, reading graphs

Higher Order Derivatives

Total Running Time: 09:01

first and second derivative, notation

Integration Techniques – U Substitution

Total Running Time: 26:21

four cases

Interval Notation

Total Running Time: 05:07

Introduction

Total Running Time: 01:58

how to succeed

Joint and Conditional Probability

Total Running Time: 21:29

contignecy, dependent, event, frequencies, independent, table, unconditional, variable

Limits: A Numerical and Graphical Approach

Total Running Time: 11:19

Limits from the Left and Right, Value of a Function

Linear Inequalities

Total Running Time: 17:55

absolute value, dividing by a negative, graph, interval notation, solve

Linear Regression

Total Running Time: 16:09

Explanatory Variable, residuals, Response Variable, standardized residuals

Loan Amortization and Present Value of Ordinary Annuities

Total Running Time: 17:17

calculating interest, solving for P, solving for r

Logarithmic Functions

Total Running Time: 15:19

natural logarithm, properties of Log's, simplifying Log's

Looking at Relationships and Scatterplots

Total Running Time: 07:23

Bivariate Data, Dependent Variable, Explanatory Variable, Predictor Variable, Response Variable, Scatter Plot

Manipulating Formulas

Total Running Time: 10:37

Margin of Error and Sample Size

Total Running Time: 14:29

confidence interval, Confidence Level, critical values

Marginal Functions

Total Running Time: 08:00

marginal cost, marginal profit, Revenue

Matrix Products Identities and Inverses

Total Running Time: 17:50

additive identities, additive inverses, dimensions of matrix multiplication, multiplicative identities, multiplicative inverses

Max and Min Business Applications

Total Running Time: 10:16

cost, linear profit, maximum profit, Revenue, revenue function

Measures of Relative Standing

Total Running Time: 07:25

percentiles, raw data, relative standing, z-scores

Multiple Regression

Total Running Time: 31:32

assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test

Multiple Regression

Total Running Time: 16:37

adjusted r squared, assumptions and conditions, f statistic, interpreting coefficients

Multiple Regression

Total Running Time: 12:32

Multiple Regression, multiple regression coefficient, multiple regression model

Multiple Regression Practice

Total Running Time: 37:02

assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test

Multiplying and Dividing Fractions

Total Running Time: 06:24

Mutually Exclusive Events and the Additive Rule

Total Running Time: 04:39

Additive Rule, Mutually Exclusive Events, probability

Nonlinear Functions and Models

Total Running Time: 20:03

market equilibrium, parabolas, quadratic equations, quadratic formula, radicals, rational exponents, vertex, x intercepts, y intercepts

Normal Approximation of a Binomial Distribution

Total Running Time: 06:12

Binomial Distribution, Continuous Distribution, Discrete Distribution, Normal Approximation

Normal Distribution

Total Running Time: 08:49

Bell-Shaped, mean, normal distribution, Normal Table, standard deviation, Symmetrical

Normal Distribution

Total Running Time: 16:42

empirical rule, Standard Distribution

Numerical Measures of Central Tendency

Total Running Time: 06:57

mean, median, mode, Numerical Measures, Skewness

Numerical Measures of Variability

Total Running Time: 07:49

range, standard deviation, variance

Order of Operations

Total Running Time: 08:13

Polynomial Inequalities

Total Running Time: 19:08

graph, interval notation, solve

Polynomials

Total Running Time: 17:14

add and subtract, binomial, cost, descending order, monomial, profit, Revenue, trinomial

Probability-Events and Sample Spaces

Total Running Time: 09:48

classical probability, compound event, empirical probability, experiment, probability experiment, sample point, sample space, simple event

Product and Quotient Rule

Total Running Time: 26:30

average cost, product rule, quotient rule

Proportions

Total Running Time: 04:32

Quadratic Equations

Total Running Time: 31:25

factoring, quadratic formula, zero factor property

Quadratic Functions

Total Running Time: 22:26

axis of symmetry, graph of parabola, graphing, intercepts, max and min vertex

Rational Expressions

Total Running Time: 14:10

divide expressions, multiply expressions, simplify expressions in lowest terms

Rational Expressions

Total Running Time: 14:10

divide expressions, multiply expressions, simplify expressions in lowest terms

Rational Functions

Total Running Time: 15:11

f infinity, graphing, horizontal and vertical asymptotes, understanding asymptotes

Ratios

Total Running Time: 03:10

Real Numbers

Total Running Time: 16:50

absolute value, graphing inequalities on number line, interval notation, order of operations

Review of Inference Confidence Intervals

Total Running Time: 28:25

interval, known, margin of error, population, proportions, sample size, unknown

Review of Inference Hypothesis Tests

Total Running Time: 30:06

alternative, error, known, mean, null, parameter, population, proportion, significant, unknown

Review of Probability Rules and Definitions

Total Running Time: 21:36

compound event, event, joint, random experiment, rule, sample space

Review of Simple Regression

Total Running Time: 27:40

calculate, coefficient of determination, estimate, interpret, linear regression model, model assumption, predict, residuals, sample correlation coefficient, slope, standard deviation

Rounding and Converting Fractions & Decimals

Total Running Time: 07:46

Rule of 72 and Compound Interest

Total Running Time: 30:37

effective interest rate, solving for time

Sample Size Determination

Total Running Time: 15:09

margin of error, Population Mean, Population Proportion, sample size

Sampling Distribution

Total Running Time: 22:29

assumptions and conditions, central limit theorem, distribution of sample proportions, effect of sample size, sampling distribution of the mean

Sampling Distribution of Mean

Total Running Time: 12:32

central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean

Sampling Distribution of the Mean

Total Running Time: 06:11

central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean

Simple Regression Practice

Total Running Time: 23:28

coefficient of determination, correlation coefficient, estimation, linear regression model, model assumptions, prediction, standard deviation of the residuals

Slope and Linear Functions

Total Running Time: 17:09

finding equations of lines, vertical and horizontal lines

Solving Complex Linear Equations

Total Running Time: 09:43

Solving Exponential Equations

Total Running Time: 20:05

cannot make bases the same, solving with e, solving with same base

Solving Linear Equations

Total Running Time: 06:03

Solving Percent Equations for the Base

Total Running Time: 06:23

Solving Percent Equations for the Part

Total Running Time: 07:45

Solving Percent Equations for the Rate

Total Running Time: 04:58

Solving Percent Equations: Increase & Decrease

Total Running Time: 05:14

Solving Systems of Equations with Matrices

Total Running Time: 14:35

coefficient matrix

Subtracting Fractions

Total Running Time: 06:19

Surveys & Sampling

Total Running Time: 18:58

Bias, parameter, population, randomization, sample, Statistic, valid survey

Test of Significance Introduction

Total Running Time: 16:52

alternative hypothesis, Inferential Methods, null hypothesis, Population Parameter, Statistical Hypothesis Testing

Testing Hypotheses

Total Running Time: 22:52

alpha levels and significance, alternative hypothesis, critical values, null hypothesis, p values, type one and two error

Testing Hypothesis About Proportions PT1

Total Running Time: 14:17

alternative hypothesis, null hypothesis, One Tail Test, two tailed test, Type I Error, Type II Error

Testing Hypothesis About Proportions PT2

Total Running Time: 15:51

Alpha, Alternate Hypothesis, critical values, Fail to Reject, Key Values, null hypothesis, Reject

Tests of Significance for the Population Mean (t-Statistic)

Total Running Time: 14:13

Confidence Interval Approach, Hypothesis Testing, T-statistic, Test of Significance, Validity Assumptions

Tests of Significance for the Population Mean (z-Statistic) PT1

Total Running Time: 17:24

Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic

Tests of Significance for the Population Mean (z-Statistic) PT2

Total Running Time: 16:01

Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic

Tests of Significance for the Population Proportion (z-Statistic) PT1

Total Running Time: 10:56

Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic

Tests of Significance for the Population Proportion (z-Statistic) PT2

Total Running Time: 10:39

Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic

The Empirical Rule

Total Running Time: 02:55

empirical rule, Frequency of Observations, Mound Shaped, Normal Data

The Multiplication Rule

Total Running Time: 07:00

dependant events, independent events, multiplication rule

Translating Words to Algebraic Equations and Solving

Total Running Time: 05:01

Translating Words to Algebraic Expressions

Total Running Time: 05:31

Two Sample Design: Comparing Two Means and Two Proportions

Total Running Time: 26:34

confidence interval, hypothesis test, independent samples, population means, population proportions

Types of Data

Total Running Time: 02:58

categorical, data, Different Types of Data, Numerical, qualitative, quantitative

Types of Random Variables

Total Running Time: 09:06

continuous random variable, discrete random variable, expected value, probability distribution, standard deviation

Understanding Residuals

Total Running Time: 10:48

examining residuals for groups, extrapolation and prediction, summary values, unusual and extraordinary observations

Understanding Residuals

Total Running Time: 08:36

high-leverage point, large residuals, residuals, residuals for groups

Unions, Intersections, Complementary Events

Total Running Time: 04:54

Complementary Events, Intersections, Outcomes, probabilities, sample space, Unions